---
annotations_creators:
- machine-generated
language_creators:
- crowdsourced
- expert-generated
language:
- code
license: other
multilinguality:
- multilingual
pretty_name: GitFlic Code Dataset
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
---

# Dataset Card for GitFlic Code Dataset

### Dataset Summary

This dataset was compiled from code repositories hosted on the [GitFlic](https://gitflic.ru) platform. GitFlic is the first Russian service for storing and working with source code, based on the Git version control system.

The dataset includes code from **12,527** repositories, spanning **692** different file types as identified by [github-linguist](https://github.com/github-linguist/linguist). It has been deduplicated and filtered to remove binary files, resulting in **60 GB** of unique code extracted from over **967 GB** of analyzed data. The dataset contains **5,983,358** unique code files processed. Each entry in the dataset represents a single file, including its content, identified language, and a unique filename.

### Languages

The dataset includes multiple programming languages, with the specific language of each file identified using [github-linguist](https://github.com/github-linguist/linguist).

## Dataset Structure

### Data Fields

This dataset includes the following fields:

- `file_text`: The full text content of the file (string)
- `language`: The programming language of the file, as identified by [github-linguist](https://github.com/github-linguist/linguist) (string)
- `file_name`: A unique identifier for the file within the dataset (string)

### Data Splits

All examples are in the train split. There is no validation split.

## Additional Information

### Dataset Curators

- [nyuuzyou](https://ducks.party)

### Ethical Considerations

This dataset has been compiled with an analysis of the licenses used in the repositories to ensure ethical collection and use of the data. Users of this dataset should respect the rights of the authors and use the data responsibly.